🛒 Yahoo Shopping Scraper: Scrape Yahoo Shopping Product Listings with Python

The most efficient, reliable, and developer-friendly Yahoo Shopping scraper

Actor page: apify.com/johnvc/Yahoo-Shopping-Search-Scraper Input schema: apify.com/johnvc/Yahoo-Shopping-Search-Scraper/input-schema

Scrape Yahoo Shopping product listings with Python using the Yahoo Shopping Search Scraper on Apify. Returns structured JSON with product names, prices, seller info, ratings, and descriptions - with support for price range filters, sort options, merchant filtering, and pagination.

🚀 Quick Start

Prerequisites

• Python 3.9 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

   git clone https://github.com/johnisanerd/Apify-Yahoo-Shopping-Scraper.git
   cd Apify-Yahoo-Shopping-Scraper

2. Install dependencies with UV

   # Install UV if you don't have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh
   
   # Install project dependencies:
   uv sync

3. Configure your API key

   cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3

4. Run the example

   uv run python yahoo-shopping-scraper.py

Alternative: Set API Key Directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python yahoo-shopping-scraper.py

🌟 Why Use This Yahoo Shopping Scraper?

The Yahoo Shopping scraper on Apify delivers structured product data directly from Yahoo Shopping search results - a large and often-overlooked product index with strong coverage of independent merchants, competitive pricing, and product categories not always prominent on other platforms.

Price Intelligence at Scale: Pull prices, seller names, and product details across any category or keyword in a single API call. Whether you are building a price comparison tool, monitoring competitor listings, or researching market rates, the scraper returns exactly the fields you need - no HTML parsing, no browser automation required.

Flexible Price Filtering: Set min_price and max_price to narrow results to a specific price band. Combined with sort_by and order_by, you can retrieve the cheapest listings, the most expensive, or anything in between - making it easy to segment product data by tier for analysis or display.

Merchant and Category Filtering: Use the merchants parameter to restrict results to specific sellers, or category_attr_values to narrow by product category attributes. This makes the scraper useful for vendor-specific research, niche category analysis, and building curated product datasets.

Configurable Pagination: Set max_pages to control how deeply you scrape. The start and limit parameters give additional control over result offsets and page size, useful when integrating results into a paginated display or resuming an interrupted run.

Pay-Per-Event, No Subscriptions: Pricing is $0.01 per run plus $0.02 per page scraped. You pay only for what you use - no monthly minimums, no seat licenses. Scale up for large catalog sweeps and back down for spot checks.

Production-Ready JSON Output: Every product result includes a consistent set of fields across all merchants and categories. Load directly into a database, feed into a price tracking pipeline, or pass to an LLM for product comparison and summarization - no transformation layer needed.

🎯 Common Use Cases for Yahoo Shopping Data

Price Comparison: Collect product prices across sellers on Yahoo Shopping and compare against other platforms to identify the best deals or monitor market pricing trends.

Competitor Research: Track what products competitors are listing, at what prices, and with what descriptions - updated on demand without manual browsing.

Product Catalog Enrichment: Source product names, descriptions, images, and pricing data to enrich an internal catalog or populate a comparison site.

E-commerce Market Research: Analyze product availability, pricing distributions, and merchant concentration in any niche or category.

Deal Monitoring: Set up periodic scrapes for specific keywords with price filters to catch deals as they appear on Yahoo Shopping.

LLM Product Analysis: Feed structured product listings into a language model for automated summarization, comparison, or recommendation generation.

⚡ Features

Core Capabilities

• Yahoo Shopping Index: Queries Yahoo Shopping's full product index across all merchants
• Price Range Filtering: Set min_price and max_price to target a specific price band
• Sort and Order Control: Sort by price, relevance, or other fields in ascending or descending order
• Merchant Filtering: Restrict results to specific sellers using the merchants parameter
• Category Attribute Filtering: Narrow by product category attributes with category_attr_values
• Configurable Pagination: Control depth with max_pages, offset with start, and page size with limit

Data Quality

• Consistent JSON Schema: Every product result shares the same field structure regardless of merchant
• Seller Attribution: Merchant name and seller info included on every result
• Ratings and Reviews: Product rating data where available
• Full Descriptions: Complete product description text, not just titles
• Per-Page Dataset Items: Results pushed as discrete items for accurate billing and easy processing

📖 Usage Examples

Basic Search: Scrape Yahoo Shopping for Any Product

{
  "query": "wireless headphones",
  "max_pages": 1
}

Advanced Search: Price-Filtered and Sorted Results

Retrieve wireless headphones priced between $50 and $200, sorted by price ascending, across 2 pages.

{
  "query": "wireless headphones",
  "min_price": "50.00",
  "max_price": "200.00",
  "sort_by": "price",
  "order_by": "asc",
  "max_pages": 2
}

🔍 Input Parameters

Full input schema reference: apify.com/johnvc/Yahoo-Shopping-Search-Scraper/input-schema

Parameter	Type	Required	Default	Description
query	str	YES	-	Product search query
min_price	str	no	"0.00"	Minimum price filter
max_price	str	no	"0.00"	Maximum price (0 = no limit)
sort_by	str	no	-	Sort field (e.g. "price")
order_by	str	no	-	Sort direction (e.g. "asc", "desc")
category_attr_values	str	no	-	Category attribute filters
merchants	str	no	-	Filter by merchant names
start	int	no	0	Result offset
limit	int	no	60	Results per page
page	int	no	-	Page number
max_pages	int	no	1	Maximum pages to scrape
output_file	str	no	-	Optional output filename

📊 Output Format

Each run returns a dataset of structured JSON objects. Sample output:

{
  "query": "wireless headphones",
  "min_price": "50.00",
  "max_price": "200.00",
  "max_pages": 2,
  "pages_processed": 2,
  "products": [
    {
      "position": 1,
      "title": "Sony WH-1000XM5 Wireless Noise Canceling Headphones",
      "link": "https://shopping.yahoo.com/product/example-1",
      "price": "$279.99",
      "price_raw": 279.99,
      "merchant": "Best Buy",
      "rating": 4.8,
      "review_count": 2341,
      "description": "Industry-leading noise cancellation with 30-hour battery life and multipoint connection for pairing with two devices simultaneously.",
      "image": "https://example.com/image1.jpg",
      "brand": "Sony"
    },
    {
      "position": 2,
      "title": "Bose QuietComfort 45 Bluetooth Wireless Headphones",
      "link": "https://shopping.yahoo.com/product/example-2",
      "price": "$229.00",
      "price_raw": 229.00,
      "merchant": "Amazon",
      "rating": 4.6,
      "review_count": 1876,
      "description": "High-fidelity audio with world-class noise cancellation. Up to 24 hours of battery life with 2.5 hour charge time.",
      "image": "https://example.com/image2.jpg",
      "brand": "Bose"
    }
  ],
  "search_metadata": {
    "total_results_found": 312,
    "pages_processed": 2
  }
}

---

Made with love

Transform your data collection with the most reliable and efficient scraper on the market.

Last Updated: 2026.04.15